Large Transportation Models on the Horizon: Challenges and Issues [Editor’s Column]

IF 4.3 3区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yisheng Lv
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引用次数: 0

Abstract

Following large language models, the development of large models in industries is becoming more intensified by the day. Without exception, large transportation models, including traffic perception and cognition for large-scale road networks and autonomous driving models, have been issued one after another, kicking off a new round of competition characterized by “big model + big data + big computing power.”
即将到来的大型运输模式:挑战和问题[编辑专栏]
随着大型语言模型的发展,大型模型在工业中的发展也日益加强。大规模路网交通感知与认知、自动驾驶等大型交通模型无一例外相继发布,开启了“大模型+大数据+大算力”的新一轮竞争。
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来源期刊
IEEE Intelligent Transportation Systems Magazine
IEEE Intelligent Transportation Systems Magazine ENGINEERING, ELECTRICAL & ELECTRONIC-TRANSPORTATION SCIENCE & TECHNOLOGY
CiteScore
8.00
自引率
8.30%
发文量
147
期刊介绍: The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. In contrast to the highly academic publication of the IEEE Transactions on Intelligent Transportation Systems, the ITS Magazine focuses on providing needed information to all members of IEEE ITS society, serving as a dissemination vehicle for ITS Society members and the others to learn the state of the art development and progress on ITS research and applications. High quality tutorials, surveys, successful implementations, technology reviews, lessons learned, policy and societal impacts, and ITS educational issues are published as well. The ITS Magazine also serves as an ideal media communication vehicle between the governing body of ITS society and its membership and promotes ITS community development and growth.
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